Suppr超能文献

中国水生生物标准研究的进展、挑战与未来方向

Advancements, Challenges, and Future Directions in Aquatic Life Criteria Research in China.

作者信息

Liu Chen, Geng Zhaomei, Xu Jiayin, Li Qingwei, Zhang Heng, Pan Jinfen

机构信息

Key Laboratory of Environment and Ecology (Ministry of Education), Ocean University of China, Qingdao 266100, China.

School of Mathematics, Sun Yat-Sen University, Guangzhou 510275, China.

出版信息

Toxics. 2023 Oct 16;11(10):862. doi: 10.3390/toxics11100862.

Abstract

Aquatic life criteria (ALC) serve as the scientific foundation for establishing water quality standards, and in China, significant strides have been made in the development of freshwater ALC. This comprehensive review traces the evolution of China's WQC, focusing on the methodological advancements and challenges in priority pollutants selection, test organism screening, and standardized ecotoxicity testing protocols. It also provides a critical evaluation of quality assurance measures, data validation techniques, and minimum data requirements essential for ALC assessments. The paper highlights China's technical guidelines for deriving ALC, and reviews the published values for typical pollutants, assessing their impact on environmental quality standards. Emerging trends and future research avenues are discussed, including the incorporation of molecular toxicology data and the development of predictive models for pollutant toxicity. The review concludes by advocating for a tiered WQC system that accommodates China's diverse ecological regions, thereby offering a robust scientific basis for enhanced water quality management.

摘要

水生生物标准(ALC)是制定水质标准的科学基础,在中国,淡水ALC的制定已取得显著进展。本全面综述追溯了中国水质标准的演变,重点关注优先污染物选择、受试生物筛选和标准化生态毒性测试方案方面的方法学进展与挑战。它还对质量保证措施、数据验证技术以及ALC评估所需的最低数据要求进行了批判性评估。本文突出了中国推导ALC的技术指南,并回顾了典型污染物的已公布值,评估了它们对环境质量标准的影响。讨论了新出现的趋势和未来的研究方向,包括纳入分子毒理学数据和开发污染物毒性预测模型。综述最后倡导建立一个适应中国不同生态区域的分层水质标准体系,从而为加强水质管理提供坚实的科学依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbd3/10667990/f14be3992224/toxics-11-00862-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验